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data/ | ||
models/ |
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venv | ||
.git | ||
.history | ||
.vscode | ||
.venv |
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.POHNY: train | ||
train: | ||
mkdir -p models | ||
python3 ucf101/train.py | ||
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.POHNY: download-data | ||
download-data: | ||
rm -rf data | ||
mkdir -p data | ||
wget http://www.crcv.ucf.edu/data/UCF101/UCF101.rar --no-check-certificate -P data | ||
unrar x data/UCF101.rar data | ||
rm -rf data/UCF101.rar | ||
rm -f data/all_list.txt | ||
bash generate_data.sh | ||
shuf data/all_list.txt -n 9000 -o data/train_list.txt | ||
shuf data/all_list.txt -n 1000 -o data/validation_list.txt | ||
shuf data/all_list.txt -n 200 -o data/test_list.txt |
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name: ucf101 | ||
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handler: ucf101.dataset:UCFDatasetBuildExecutor | ||
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desc: ucf101 data and label test dataset | ||
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attr: | ||
alignment_size: 128 | ||
volume_size: 10M |
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#! /bin/bash | ||
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global_index=0 | ||
label_index=0 | ||
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read_dir(){ | ||
for file in `ls $1` | ||
do | ||
if [ -d $1"/"$file ] | ||
then | ||
read_dir $1"/"$file $label_index | ||
let label_index++ | ||
else | ||
echo $global_index $2 ${1:13}"/"$file >> "data/"all_list.txt | ||
let global_index++ | ||
fi | ||
done | ||
} | ||
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read_dir data/UCF-101 |
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version: 1.0 | ||
name: ucf101 | ||
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model: | ||
- models/PyTorch-MFNet_ep-0000.pth | ||
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run: | ||
handler: ucf101.evaluator:UCF101PipelineHandler | ||
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desc: ucf101 by pytorch |
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# Generated by Starwhale(0.3.1) Runtime Lock | ||
--index-url 'https://pypi.doubanio.com/simple/' | ||
--extra-index-url 'https://mirrors.bfsu.edu.cn/pypi/web/simple/' | ||
--trusted-host 'mirrors.bfsu.edu.cn\npypi.doubanio.com' | ||
appdirs==1.4.4 | ||
attrs==21.4.0 | ||
boto3==1.21.0 | ||
botocore==1.24.46 | ||
cattrs==1.7.1 | ||
certifi==2022.9.24 | ||
charset-normalizer==2.1.1 | ||
click==8.1.3 | ||
click-option-group==0.5.5 | ||
commonmark==0.9.1 | ||
conda-pack==0.6.0 | ||
dill==0.3.5.1 | ||
distlib==0.3.6 | ||
filelock==3.8.0 | ||
fs==2.4.16 | ||
idna==3.4 | ||
Jinja2==3.1.2 | ||
jmespath==0.10.0 | ||
joblib==1.2.0 | ||
jsonlines==3.0.0 | ||
loguru==0.6.0 | ||
MarkupSafe==2.1.1 | ||
numpy==1.23.4 | ||
nvidia-cublas-cu11==11.10.3.66 | ||
nvidia-cuda-nvrtc-cu11==11.7.99 | ||
nvidia-cuda-runtime-cu11==11.7.99 | ||
nvidia-cudnn-cu11==8.5.0.96 | ||
opencv-python==4.6.0.66 | ||
packaging==21.3 | ||
platformdirs==2.5.3 | ||
pyarrow==10.0.0 | ||
Pygments==2.13.0 | ||
pyparsing==3.0.9 | ||
python-dateutil==2.8.2 | ||
PyYAML==6.0 | ||
requests==2.28.1 | ||
requests-toolbelt==0.10.1 | ||
rich==12.6.0 | ||
s3transfer==0.5.2 | ||
scikit-learn==1.1.3 | ||
scipy==1.9.3 | ||
shellingham==1.5.0 | ||
six==1.16.0 | ||
tenacity==8.1.0 | ||
textual==0.1.18 | ||
threadpoolctl==3.1.0 | ||
torch==1.13.0 | ||
typing_extensions==4.4.0 | ||
urllib3==1.26.12 | ||
virtualenv==20.16.6 |
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api_version: '1.1' | ||
dependencies: | ||
- requirements-sw-lock.txt | ||
- pip: | ||
- starwhale==0.3.1 | ||
- wheels: | ||
- starwhale-0.0.0.dev0-py3-none-any.whl | ||
environment: | ||
arch: noarch | ||
os: ubuntu:20.04 | ||
python: '3.9' | ||
mode: venv | ||
name: ucf101 |
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#! /bin/bash | ||
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read_dir(){ | ||
for file in `ls $1` | ||
do | ||
if [ -d $1"/"$file ] | ||
then | ||
mkdir -p data/UCF-101-WEBM/${1:13}"/"$file | ||
read_dir $1"/"$file | ||
else | ||
ffmpeg -i $1"/"$file -y data/UCF-101-WEBM/${1:13}"/"${file%.*}".webm" | ||
fi | ||
done | ||
} | ||
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read_dir data/UCF-101 |
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import typing as t | ||
from pathlib import Path | ||
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from starwhale import Video, MIMEType, BuildExecutor | ||
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root_dir = Path(__file__).parent.parent | ||
dataset_dir = root_dir / "data" / "UCF-101" | ||
test_ds_path = [root_dir / "data" / "test_list.txt"] | ||
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class UCFDatasetBuildExecutor(BuildExecutor): | ||
def iter_item(self) -> t.Generator[t.Tuple, None, None]: | ||
for path in test_ds_path: | ||
with path.open() as f: | ||
for line in f.readlines(): | ||
v_id, label, video_sub_path = line.split() | ||
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data_path = dataset_dir / video_sub_path | ||
data = Video( | ||
data_path, | ||
display_name=video_sub_path, | ||
shape=(1,), | ||
mime_type=MIMEType.AVI, | ||
) | ||
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annotations = { | ||
"label": label, | ||
} | ||
yield f"{label}_{video_sub_path}", data, annotations |
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